Martin Lefebvre
Martin Lefebvre received the M.Sc. degree (summa cum laude) in Electromechanical Engineering and the Ph.D. degree in Engineering Sciences and Technology from the Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium, in 2017 and 2024, respectively. He pursued his Ph.D thesis, focusing on area-efficient and temperature-independent current references for the Internet of Things, under the supervision of Prof. David Bol, and simultaneously served as a teaching assistant in Electrical Engineering. He also participated to eight tape-outs in various technology nodes. His current research interests include hardware-aware machine learning algorithms, low-power mixed-signal vision chips for embedded image processing, and ultra-low-power current reference architectures. He serves as a reviewer for various IEEE journals and conferences including Journal of Solid-State Circuits (JSSC), Transactions on Circuits and Systems I and II (TCAS-I and TCAS-II), Transactions on Biomedical Circuits and Systems (TBioCas), Transactions on VLSI Systems (TVLSI), and International Symposium on Circuits and Systems (ISCAS).